electricsheepafrica/africa-ourairports-tza

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- other
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- aviation
- facilities-infrastructure
- geodata
- hxl
- transportation
- tza
pretty_name: "Airports in Tanzania"
dataset_info:
splits:
- name: train
num_examples: 169
- name: test
num_examples: 42
---

# Airports in Tanzania

**Publisher:** OurAirports · **Source:** [HDX](https://data.humdata.org/dataset/ourairports-tza) · **License:** `cc-by-igo` · **Updated:** 2026-02-23

---

## Abstract

List of airports in Tanzania, with latitude and longitude. Unverified community data from http://ourairports.com/countries/TZ/

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-02-23. Geographic scope: **TZA**.

*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Humanitarian and development data |
| **Unit of observation** | First-level administrative unit observations |
| **Rows (total)** | 212 |
| **Columns** | 21 (7 numeric, 13 categorical, 0 datetime) |
| **Train split** | 169 rows |
| **Test split** | 42 rows |
| **Geographic scope** | TZA |
| **Publisher** | OurAirports |
| **HDX last updated** | 2026-02-23 |

---

## Variables

**Geographic** — `type` (small_airport, medium_airport, closed), `latitude_deg` (range -11.6123–-1.075), `longitude_deg` (range 29.6709–40.182), `country_name` (Tanzania, #country +name), `iso_country` (TZ, #country +code +iso2) and 4 others.

**Temporal** — `last_updated`.

**Outcome / Measurement** — `score` (range 0.0–1050.0).

**Identifier / Metadata** — `id` (range 3250.0–604206.0), `ident` (#meta +code, HTMK, TZ-0042), `name` (#loc +airport +name, Mikumi Airport, Mkangira Airport), `gps_code` (#loc +airport +code +gps, HTMH, HTMP), `esa_source` and 1 others.

**Other** — `elevation_ft` (range 15.0–7795.0), `continent` (AF, #region +continent +code), `scheduled_service` (range 0.0–1.0), `wikipedia_link`.

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ourairports-tza")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()
```

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `id` | float64 | 0.5% | 3250.0 – 604206.0 (mean 237534.8199) |
| `ident` | object | 0.0% | #meta +code, HTMK, TZ-0042 |
| `type` | object | 0.0% | small_airport, medium_airport, closed |
| `name` | object | 0.0% | #loc +airport +name, Mikumi Airport, Mkangira Airport |
| `latitude_deg` | float64 | 0.5% | -11.6123 – -1.075 (mean -5.8509) |
| `longitude_deg` | float64 | 0.5% | 29.6709 – 40.182 (mean 35.0959) |
| `elevation_ft` | float64 | 19.8% | 15.0 – 7795.0 (mean 3311.9941) |
| `continent` | object | 0.0% | AF, #region +continent +code |
| `country_name` | object | 0.0% | Tanzania, #country +name |
| `iso_country` | object | 0.0% | TZ, #country +code +iso2 |
| `region_name` | object | 0.0% | Morogoro Region, Rukwa Region, Singida Region |
| `iso_region` | object | 0.0% | TZ-16, TZ-20, TZ-23 |
| `local_region` | float64 | 0.5% | 1.0 – 31.0 (mean 14.8483) |
| `municipality` | object | 6.6% | Chunya, Rungwa, Ifakara |
| `scheduled_service` | float64 | 0.5% | 0.0 – 1.0 (mean 0.0758) |
| `gps_code` | object | 59.4% | #loc +airport +code +gps, HTMH, HTMP |
| `wikipedia_link` | object | 78.8% | |
| `score` | float64 | 0.5% | 0.0 – 1050.0 (mean 87.4408) |
| `last_updated` | datetime64[ns, UTC] | 0.5% | |
| `esa_source` | object | 0.0% | |
| `esa_processed` | object | 0.0% | |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `id` | 3250.0 | 604206.0 | 237534.8199 | 318606.0 |
| `latitude_deg` | -11.6123 | -1.075 | -5.8509 | -6.1356 |
| `longitude_deg` | 29.6709 | 40.182 | 35.0959 | 35.1591 |
| `elevation_ft` | 15.0 | 7795.0 | 3311.9941 | 3786.5 |
| `local_region` | 1.0 | 31.0 | 14.8483 | 16.0 |
| `scheduled_service` | 0.0 | 1.0 | 0.0758 | 0.0 |
| `score` | 0.0 | 1050.0 | 87.4408 | 50.0 |

---

## Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. 5 column(s) with >80% missing values were removed: `icao_code`, `iata_code`, `local_code`, `home_link`, `keywords`. 8 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

---

## Limitations

- Data originates from OurAirports and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- The following columns have >20% missing values and should be treated with caution in modelling: `gps_code`, `wikipedia_link`.
- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/ourairports-tza) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_ourairports_tza,
title = {Airports in Tanzania},
author = {OurAirports},
year = {2026},
url = {https://data.humdata.org/dataset/ourairports-tza},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
```

---

*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*

annotations_creators:
- 无标注
language_creators:
- 公开采集
language:
- 英语
license: CC BY 4.0知识共享协议
multilinguality:
- 单语言
size_categories:
- 样本量少于1000
source_datasets:
- 原始数据集
task_categories:
- 其他
task_ids: []
tags:
- 非洲
- 人道主义
- HDX
- Electric Sheep Africa
- 航空
- 设施与基础设施
- 地理数据
- HXL
- 交通
- 坦桑尼亚（TZA）
pretty_name: "坦桑尼亚境内机场"
dataset_info:
splits:
- name: 训练集
num_examples: 169
- name: 测试集
num_examples: 42

# 坦桑尼亚境内机场

**发布方：** OurAirports · **数据源：** [HDX]("https://data.humdata.org/dataset/ourairports-tza") · **许可证：** `cc-by-igo` · **更新时间：** 2026-02-23

---

## 摘要

本数据集收录坦桑尼亚境内的机场列表，包含纬度与经度信息。数据为来自http://ourairports.com/countries/TZ/ 的未经验证的社区贡献数据。
本数据集每一行代表一级行政单元的观测条目。数据最后一次在HDX平台更新的时间为2026年2月23日。地理覆盖范围：**坦桑尼亚（TZA）**。
*本数据集由[Electric Sheep Africa]("https://huggingface.co/electricsheepafrica")整理为适配机器学习的Parquet格式。*

---

## 数据集特征

| | |
|---|---|
| **领域** | 人道主义与发展数据 |
| **观测单元** | 一级行政单元观测条目 |
| **总条目数** | 212 |
| **字段数** | 21（7个数值型字段，13个分类型字段，0个日期时间型字段） |
| **训练集** | 169条 |
| **测试集** | 42条 |
| **地理覆盖范围** | 坦桑尼亚（TZA） |
| **发布方** | OurAirports |
| **HDX平台最后更新时间** | 2026-02-23 |

---

## 字段分类

**地理类字段** — `type`（小型机场、中型机场、已关闭机场），`latitude_deg`（取值范围 -11.6123 至 -1.075），`longitude_deg`（取值范围 29.6709 至 40.182），`country_name`（坦桑尼亚，#国家+名称），`iso_country`（TZ，#国家+ISO2代码）及另外4个字段。
**时间类字段** — `last_updated`。
**结果/测量类字段** — `score`（取值范围 0.0 至 1050.0）。
**标识符/元数据类字段** — `id`（取值范围 3250.0 至 604206.0），`ident`（#元数据+代码，HTMK、TZ-0042），`name`（#地点+机场+名称，米库米机场、姆坎吉拉机场），`gps_code`（#地点+机场+GPS代码，HTMH、HTMP），`esa_source`及另外1个字段。
**其他字段** — `elevation_ft`（取值范围 15.0 至 7795.0），`continent`（AF，#大洲代码），`scheduled_service`（取值范围 0.0 至 1.0），`wikipedia_link`。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ourairports-tza")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()

---

## 字段结构

| 字段名 | 数据类型 | 缺失率 | 取值范围/示例值 |
|---|---|---|---|
| `id` | float64 | 0.5% | 3250.0 – 604206.0（均值 237534.8199） |
| `ident` | object | 0.0% | #元数据+代码，HTMK、TZ-0042 |
| `type` | object | 0.0% | 小型机场、中型机场、已关闭机场 |
| `name` | object | 0.0% | #地点+机场+名称，米库米机场、姆坎吉拉机场 |
| `latitude_deg` | float64 | 0.5% | -11.6123 – -1.075（均值 -5.8509） |
| `longitude_deg` | float64 | 0.5% | 29.6709 – 40.182（均值 35.0959） |
| `elevation_ft` | float64 | 19.8% | 15.0 – 7795.0（均值 3311.9941） |
| `continent` | object | 0.0% | AF，#大洲代码 |
| `country_name` | object | 0.0% | 坦桑尼亚，#国家名称 |
| `iso_country` | object | 0.0% | TZ，#国家ISO2代码 |
| `region_name` | object | 0.0% | 莫罗戈罗地区、鲁夸地区、辛吉达地区 |
| `iso_region` | object | 0.0% | TZ-16、TZ-20、TZ-23 |
| `local_region` | float64 | 0.5% | 1.0 – 31.0（均值 14.8483） |
| `municipality` | object | 6.6% | 春亚、伦瓜、伊法卡拉 |
| `scheduled_service` | float64 | 0.5% | 0.0 – 1.0（均值 0.0758） |
| `gps_code` | object | 59.4% | #地点+机场+GPS代码，HTMH、HTMP |
| `wikipedia_link` | object | 78.8% | 无 |
| `score` | float64 | 0.5% | 0.0 – 1050.0（均值 87.4408） |
| `last_updated` | datetime64[ns, UTC] | 0.5% | 无 |
| `esa_source` | object | 0.0% | 无 |
| `esa_processed` | object | 0.0% | 无 |

---

## 数值型字段统计摘要

| 字段名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `id` | 3250.0 | 604206.0 | 237534.8199 | 318606.0 |
| `latitude_deg` | -11.6123 | -1.075 | -5.8509 | -6.1356 |
| `longitude_deg` | 29.6709 | 40.182 | 35.0959 | 35.1591 |
| `elevation_ft` | 15.0 | 7795.0 | 3311.9941 | 3786.5 |
| `local_region` | 1.0 | 31.0 | 14.8483 | 16.0 |
| `scheduled_service` | 0.0 | 1.0 | 0.0758 | 0.0 |
| `score` | 0.0 | 1050.0 | 87.4408 | 50.0 |

---

## 数据整理流程

原始数据通过CKAN应用程序编程接口（CKAN API）从HDX平台下载，并转换为Parquet格式。字段名称统一转换为小写并标准化为蛇形命名法。将常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。删除了5个缺失率超过80%的字段：`icao_code`、`iata_code`、`local_code`、`home_link`、`keywords`。基于解析成功率（阈值85%），将8个字段从字符串类型转换为数值型或日期时间型。本数据集使用固定随机种子（42）按照80/20的比例划分为训练集与测试集，并以Snappy压缩的Parquet格式存储。

---

## 局限性说明

- 数据源自OurAirports，未经过Electric Sheep Africa的独立验证。
- 自动化清洗流程无法修正原始数据集中的错报值、定义不一致或采样偏差问题。
- 以下字段的缺失率超过20%，在建模时需谨慎使用：`gps_code`、`wikipedia_link`。
- 如需查看发布方的方法论说明与免责条款，请参阅[原始HDX数据集页面]("https://data.humdata.org/dataset/ourairports-tza")。

---

## 引用格式

bibtex
@dataset{hdx_africa_ourairports_tza,
title = {Airports in Tanzania},
author = {OurAirports},
year = {2026},
url = {https://data.humdata.org/dataset/ourairports-tza},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

*[Electric Sheep Africa]("https://huggingface.co/electricsheepafrica") — 非洲机器学习数据集基础设施。尼日利亚拉各斯。*